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Matagorda Peninsula and Sargent Beach, Texas, USA, have experienced some of the highest rates of erosion along the Texas coast. In order to increase protection from tropical events and slow beach habitat erosion, several structural alternatives were studied. These alternatives were modeled with GenCade, a newly developed 1D shoreline change and sand transport model. GenCade was calibrated and vali
The importance of daylight to occupants’ health and wellbeing has been extensively documented, as well as its role in reducing electric lighting use. As a result, most countries have today some form of regulatory framework, specifying minimum daylight requirements for built spaces. The present Swedish building code (BBR – BFS 2011:6) includes general recommendations for daylight provision of resid
A prototype of wind turbines in 5 megawatt class was built and tested at the first German offshore wind energy test field in the North Sea. In order to investigate dynamic behaviors under a complex state of loads, a continuous dynamic monitoring system was implemented by Federal Institute for Material Research and Testing (BAM). It recorded structural responses and environmental/operational variab
Damage detection systems are usually developed and optimized based on the methods of damage detection system reliability. This implies that the later purpose of a damage detection system namely e.g. the employment of the structural integrity management is not directly accounted for. This paper addresses thus the issue of optimizing a damage detection system in the perspective its utilization for t
In this paper, the execution and results of an evacuation experiment that was conducted in a road tunnel in Stockholm in 2014 is presented. The primary objective of the experiment was to evaluate the effectiveness of different emergency exit portal designs, and other technical installations/aids in the tunnel, during a fire evacuation in smoke. Based on the results, it is concluded that the emerge
The sintering of pre-pressed powders of iron, copper and nickel has been studied in situ using an Environmental scanning electron microscope. The small samples were slowly heated to sintering temperatures in a reducing atmosphere. Continuous monitoring of the fracture surface of the sample revealed the initial formation of inter-particle bonds at relatively low temperatures for fine particles. The
We explore a promising new approach to understanding the neural filter mechanisms intermediate in motion processing at low luminance. We carefully account for the known filter properties of early stages of visual processing in a nocturnal moth, and then measured spatiotemporal tuning of higher order neurons. We then use a computational model to identify likely strategies used to reject noisy signa
This paper discusses which freehand drawing skills a designer needs in the 21st century and why not more people are using sketching as a creative tool. Are design schools teaching the adequate skills needed today? In the past 5-10 years focus has shifted from product design to experience design and the skills needed to make high end drawings might not be needed to the same extent. 3D computational
Flexibility of the energy system plays a vital role when integrating non-dispatchable renewable energy technologies. However, flexibility of the energy system has been often discussed only focusing on the operation of the energy system. This study extends the flexibility concept considering both design and operation of the energy system. In order to achieve this, pseudo chronological scenarios use
The current work focus on the overlay method proposed by Austrell concerning frequency dependence of the dynamic modulus and loss angle that is known to increase more with frequency for small amplitudes than for large amplitudes. The original version of the overlay method yields no difference in frequency dependence with respect to different load amplitudes. However, if the elements in the viscoel
We propose a new structure for the variational auto-encoders (VAEs) prior, with the weakly informative multivariate Student’s t-distribution. In the proposed model all distribution parameters are trained, thereby allowing for a more robust approximation of the underlying data distribution. We used Fashion-MNIST data in two experiments to compare the proposed VAEs with the standard Gaussian priors.
We conducted two experiments where subjects rated images of a robot head with different eye colors and light intensities on how well they communicate emotions like anger, enjoyment, and surprise, as well as personality traits like friendliness, intelligence, and level of trust. Results indicate e.g. that green and turquoise eye colors were more associated with agreeable personality traits. We foun
Different levels of user involvement in product design range from understanding user needs to co-designing with users. Previous research shows older patients face difficulties to handle the medication packaging. Yet the participation of older patients in pharmaceutical packaging design is underexplored. The purpose of this study is to explore the role of older patients in the design and developmen
Identification of cancer pathways is the central goal in the cancer gene expression data analysis. A cellular automaton is a dynamic system with cells, which are uniform, interconnected and discrete in nature. Cellular automata are well-known methods to predict network traffics in cellular spaces. Therefore, to predict cancer pathways involved, we propose a 2-dimensional cellular automata approach
Digitalization is considered as an important strategy to meet the challenges facing healthcare sector. However, the results often fall below expectations. Furthermore, the literature has provided a fragmented understanding as previous studies have generally focused on the advantages and the barriers of the adoption of health care IS. Very little attention has been paid to the generative mechanisms
We present a biologically inspired model for estimating the position of a moving target that is invariant to the target's contrast. Our model produces a monotonic relationship between position and output activity using a divisive normalization between the 'receptive fields' of two overlapping, wide-field, small-target motion detector (STMD) neurons. These visual neurons found in flying insects, li
